Preprints
https://doi.org/10.5194/essd-2026-159
https://doi.org/10.5194/essd-2026-159
22 Apr 2026
 | 22 Apr 2026
Status: this preprint is currently under review for the journal ESSD.

A Harmonized Dataset for Dams and Reservoirs in West Africa

Valery Bessely Stanislas Kouassi, Blé Anouma Fhorest Yao, Gneneyougo Emile Soro, Albert Bi Tié Goula, Nelly Carine Kelome, and Julian Klaus

Abstract. Most existing datasets that could support dam and reservoir management and assessments of their impacts in West Africa are limited by inaccurate georeferencing, inconsistent accessibility, heterogeneous data records, and a lack of validation against field observations. In this study, we review and assess existing datasets containing information on dams and reservoirs in West Africa and subsequently integrate them into a harmonized and consolidated regional dataset. We benchmarked the quality of the newly compiled dataset at watershed scale through an extended field study, and statistical analyses. The resulting dataset (https://doi.org/10.60507/FK2/YLDK1Y) includes 1,429 georeferenced dams and 1,258 reservoirs (with a minimum surface of 0.57 × 10-3 km2) exceeding the count of dams and reservoirs in West Africa reported by any available dataset. It contains 38 attributes and an estimated total reservoir surface area of 14,038 km2 and a cumulative storage capacity of 283,032 million cubic meter (MCM), thereby enhancing data accessibility in West Africa. The regional compiled dataset contains fewer missing entries and exhibits lower bias compared to the originate datasets, advancing the existing efforts by explicitly integrating both large- and small-scale reservoirs. The ground-based watershed scale assessment revealed strong spatial and temporal coherence for large scale reservoirs, but a systematic underrepresentation of small scale infrastructure in both the sources and thus also in the compiled dataset highlighting the importance of field validation. The field benchmarking advocates for collaborative research and data sharing initiatives among scientists and institutions across West Africa to improve the accuracy and completeness of dam and reservoir data, especially for small scale infrastructure.

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Valery Bessely Stanislas Kouassi, Blé Anouma Fhorest Yao, Gneneyougo Emile Soro, Albert Bi Tié Goula, Nelly Carine Kelome, and Julian Klaus

Status: open (until 29 May 2026)

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Valery Bessely Stanislas Kouassi, Blé Anouma Fhorest Yao, Gneneyougo Emile Soro, Albert Bi Tié Goula, Nelly Carine Kelome, and Julian Klaus

Data sets

West Africa Dams and Reservoirs Dataset Valery Bessely Stanislas Kouassi et al. https://doi.org/10.60507/FK2/YLDK1Y

Valery Bessely Stanislas Kouassi, Blé Anouma Fhorest Yao, Gneneyougo Emile Soro, Albert Bi Tié Goula, Nelly Carine Kelome, and Julian Klaus
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Latest update: 22 Apr 2026
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Short summary
Dams and reservoirs are crucial for water supply, energy, and farming in West Africa, but information about them is often inaccessible, incomplete, or inconsistent. We combined existing records with field observations to create the a harmonized dataset to date, with quality verified at the watershed scale. This work improves access to dam and reservoir information in West Africa, supporting research and investment planning for climate adaptation across the region.
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